random_sample_n random_sample_n Category: algorithms Component type: function Prototype Random_sample_n is an overloaded name; there are actually two random_sample_n functions. template <class ForwardIterator, class OutputIterator, class Distance> OutputIterator random_sample_n(ForwardIterator first, ForwardIterator last, OutputIterator out, Distance n) template <class ForwardIterator, class OutputIterator, class Distance, class RandomNumberGenerator> OutputIterator random_sample_n(ForwardIterator first, ForwardIterator last, OutputIterator out, Distance n, RandomNumberGenerator& rand) Description Random_sample_n randomly copies a sample of the elements from the range [first, last) into the range [out, out + n). Each element in the input range appears at most once in the output range, and samples are chosen with uniform probability. [1] Elements in the output range appear in the same relative order as their relative order within the input range. [2] Random_sample copies m elements from [first, last) to [out, out + m), where m is min(last - first, n). The return value is out + m. The first version uses an internal random number generator, and the second uses a Random Number Generator, a special kind of function object, that is explicitly passed as an argument. Definition Defined in the standard header algorithm, and in the nonstandard backward-compatibility header algo.h. This function is an SGI extension; it is not part of the C++ standard. Requirements on types For the first version: ForwardIterator is a model of Forward Iterator OutputIterator is a model of Output Iterator ForwardIterator's value type is convertible to a type in OutputIterator's set of value types. Distance is an integral type that is large enough to represent the value last - first. For the second version: ForwardIterator is a model of Forward Iterator OutputIterator is a model of Output Iterator RandomNumberGenerator is a model of Random Number Generator Distance is an integral type that is large enough to represent the value last - first. ForwardIterator's value type is convertible to a type in OutputIterator's set of value types. Distance is convertible to RandomNumberGenerator's argument type. Preconditions [first, last) is a valid range. n is nonnegative. [first, last) and [out, out + n) do not overlap. There is enough space to hold all of the elements being copied. More formally, the requirement is that [out, out + min(n, last - first)) is a valid range. last - first is less than rand's maximum value. Complexity Linear in last - first. At most last - first elements from the input range are examined, and exactly min(n, last - first) elements are copied to the output range. Example int main() { const int N = 10; int A[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}; random_sample_n(A, A+N, ostream_iterator<int>(cout, " "), 4); // The printed value might be 3 5 6 10, // or any of 209 other possibilities. } Notes [1] This is "Algorithm S" from section 3.4.2 of Knuth (D. E. Knuth, The Art of Computer Programming. Volume 2: Seminumerical Algorithms, second edition. Addison-Wesley, 1981). Knuth credits C. T. Fan, M. E. Muller, and I. Rezucha (1962) and T. G. Jones (1962). Note that there are N! / n! / (N - n)! ways of selecting a sample of n elements from a range of N elements. Random_sample_n yields uniformly distributed results; that is, the probability of selecting any particular element is n / N, and the probability of any particular sampling is n! * (N - n)! / N!. [2] In contrast, the random_sample algorithm does not preserve relative ordering within the input range. The other major distinction between the two algorithms is that random_sample_n requires its input range to be Forward Iterators and only requires its output range to be Output Iterators, while random_sample only requires its input range to be Input Iterators and requires its output range to be Random Access Iterators. See also random_shuffle, random_sample, Random Number Generator Copyright © 1999 Silicon Graphics, Inc. All Rights Reserved. TrademarkInformation